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CAREERS JPMorgan Chase Institute Research Associate

Overview

Location

  • Washington, D.C.

Application Requirements

  • Current resume, including most recent standardized test scores (e.g., GRE, GMAT, SAT)

Optional:

  • Cover letter
  • Statistical coding sample (Python, SQL, Scala, Stata, or similar applications)
  • Writing sample (e.g., recent article, working paper, or class paper) that demonstrates your writing and analytical abilities
  • Transcripts (undergraduate and/or graduate)
job-eeo

JPMorgan Chase is an equal opportunity and affirmative action employer M/F/Disability/Veteran.

job-email

Please email your application materials to institute@jpmchase.com.

Overview

JPMorgan Chase Institute

The JPMorgan Chase Institute is a global think tank dedicated to delivering data-rich analyses and expert insights for the public good. The mission of the JPMorgan Chase Institute is to help decision makers – policymakers, businesses, and nonprofit leaders – appreciate the scale, granularity, diversity, and interconnectedness of the global economic system and timely data and thoughtful analysis to make more informed decisions that advance prosperity for all.

Position Overview:

The JPMorgan Chase Institute seeks a Research Analyst in its Washington, D.C. office to lead and conduct economic research using propriety big data within JPMorgan Chase.  The ideal candidate will have a strong background in economics or another quantitative social science; experience in statistics, data science and /or computer programming; have an entrepreneurial and proactive mindset, and be a strong communicator.

        Job Responsibilities

  • Conduct original economics research and data analysis using de-identified banking record transactions from JPMorgan Chase & Co and external datasets.
  • Perform literature reviews, edit and draft reports and other research materials.
  • Work alongside other researchers, PhD fellows, academic advisors, and internal thought-leaders to create cutting-edge analyses, using Institute data alone or in combination with existing publicly available data that add to both the public and academic discourse.
  • Communicate analytical insights and be directly involved in the research process.
  • Work with large datasets using big data programming languages on a Hadoop platform, and produce statistical and visual analytics.
  • Gain and apply topic-specific knowledge in areas such as consumer finance, small businesses, housing finance, and financial markets.

        Candidate Qualifications

  • Bachelor’s degree required; Master’s degree preferred in statistics, economics, public policy, data science, or other related fields.
  • Ability to translate economic research into implications for policy makers and other decision makers.
  • Experience working with big data sets (greater 100,000 observations) and big data techniques (e.g. machine learning). 
  • Strong programming experience; preferred languages include (SQL, Python, Scala).
  • Experience with big data computing on a Hadoop platform (e.g. Spark, Hive).
  • Experience working with technical collaboration tools (GIT, Jira) is a plus.
  • Prior experience working with financial services or other administrative data sets is a plus.
  • Strong sense of intellectual curiosity and desire to be directly involved in the public-oriented mission of the Institute.
  • Capacity to work in a high-performance professional environment, with quick turn-around and changing priorities.
  • Commitment to intellectual rigor and observance of compliance and data privacy controls.
  • Comfort with uncertainty and an entrepreneurial working context; flexibility to take on new roles and responsibility as the initiative evolves.